Browse publications by year: 2023

  1. Oon ZS, Abdul Razak AH, Awang MS
    Cureus, 2023 Sep;15(9):e44828.
    PMID: 37809167 DOI: 10.7759/cureus.44828
    Al-Fashdu is a well-known Islamic medicine-based alternative treatment, and it has been widely practiced with the aim of treating certain health issues in various countries. Unfortunately, this therapy can lead to certain complications, including life-threatening infections. We report a case of a 12-year-old male patient who developed a disseminated Staphylococcus aureus infection following Al-Fashdu therapy. He was treated with surgical drainage and intravenous antibiotics. To our knowledge, this is the first report of a disseminated Staphylococcus aureus infection following Al-Fashdu therapy in an adolescent patient.
  2. Zakaria SF, Shafei MN, Arifin WN
    Cureus, 2023 Sep;15(9):e44742.
    PMID: 37809199 DOI: 10.7759/cureus.44742
    INTRODUCTION: Occupational safety and health are of utmost importance in the palm oil industry, particularly in Malaysia where palm oil plantation workers face various hazards. This study aimed to translate and validate a risk perception questionnaire specifically designed to assess the perceptions of safety and health risks among palm oil plantation workers in Terengganu, Malaysia.

    METHODOLOGY: The original risk perception questionnaire, consisting of 22 items, was translated into the local language and culturally adapted. The translation process involved forward translation, expert panel discussions, and back translation to ensure linguistic equivalence. The translated questionnaire was then administered to a sample of palm oil plantation workers in Terengganu, Malaysia, for validation purposes. Confirmatory factor analysis (CFA) was conducted to assess the model fitness of the questionnaire, and Cronbach's Alpha coefficient was calculated to determine the internal consistency reliability of the final model.

    RESULTS: The translated risk perception questionnaire demonstrated good model fitness as indicated by CFA results (X2=224, df=79, p-value<0.0001, root mean square error of approximation (RMSEA)=0.07, goodness of fit index (GFI)=0.929, comparative fit index (CFI)=0.902). The questionnaire's final version has one factor comprising 13 items, selected based on factor loadings and theoretical relevance. The internal consistency reliability of the 13-item questionnaire was satisfactory, with a Cronbach's Alpha coefficient of α=0.77.

    CONCLUSION: The 13-item risk perception questionnaire demonstrated a good model fit and acceptable internal consistency reliability. It shows that the questionnaire is a valid and reliable tool to evaluate the level of risk perception on safety and health among palm oil plantation workers in Malaysia.

  3. Abdullah MF, Abdul Rahman S, Fauzi FA
    Cureus, 2023 Sep;15(9):e44832.
    PMID: 37809267 DOI: 10.7759/cureus.44832
    Oral manifestations may be the earliest indicators of HIV infection as it has strong association with oral candidiasis, hairy leukoplakia, linear gingival erythema, necrotizing ulcerative gingivitis, necrotizing ulcerative periodontitis, Kaposi sarcoma, and lymphoma. Other conditions such as diffuse infiltrative lymphocytosis syndrome, benign lymphoepithelial cyst, and salivary gland neoplasm have also been reported in HIV patients. Ranulas are caused by salivary leakage from the sublingual gland as a result of ductal obstruction or trauma. At the present time, there is no clear evidence of a link between plunging ranula and HIV. The authors described a case of plunging ranula of the right floor of the mouth with a concurrent perioperative diagnosis of HIV. Surgical excision of ranula and associated salivary glands via submandibular and intraoral approach was successfully done with no recurrence over a period of one year. This case also highlights the importance of taking a thorough clinical history from patients and always practicing universal precautions, especially during surgical interventions.
  4. Ab Rashid MA, Ahmad Zaki R, Wan Mahiyuddin WR, Yahya A
    Cureus, 2023 Sep;15(9):e44676.
    PMID: 37809275 DOI: 10.7759/cureus.44676
    Background The application of the Box-Jenkins autoregressive integrated moving average (ARIMA) model has been widely employed in predicting cases of infectious diseases. It has shown a positive impact on public health early warning surveillance due to its capability in producing reliable forecasting values. This study aimed to develop a prediction model for new tuberculosis (TB) cases using time-series data from January 2013 to December 2018 in Malaysia and to forecast monthly new TB cases for 2019. Materials and methods The ARIMA model was executed using data gathered between January 2013 and December 2018 in Malaysia. Subsequently, the well-fitted model was employed to make projections for new TB cases in the year 2019. To assess the efficacy of the model, two key metrics were utilized: the mean absolute percentage error (MAPE) and stationary R-squared. Furthermore, the sufficiency of the model was validated via the Ljung-Box test. Results The results of this study revealed that the ARIMA (2,1,1)(0,1,0)12 model proved to be the most suitable choice, exhibiting the lowest MAPE value of 6.762. The new TB cases showed a clear seasonality with two peaks occurring in March and December. The proportion of variance explained by the model was 55.8% with a p-value (Ljung-Box test) of 0.356. Conclusions The application of the ARIMA model has developed a simple, precise, and low-cost forecasting model that provides a warning six months in advance for monitoring the TB epidemic in Malaysia, which exhibits a seasonal pattern.
  5. Miah MSU, Sulaiman J, Sarwar TB, Ibrahim N, Masuduzzaman M, Jose R
    Heliyon, 2023 Sep;9(9):e20003.
    PMID: 37809409 DOI: 10.1016/j.heliyon.2023.e20003
    This article reports a tool that enables Materials Informatics, termed as MatRec, via a deep learning approach. The tool captures data, makes appropriate domain suggestions, extracts various entities such as materials and processes, and helps to establish entity-value relationships. This tool uses keyword extraction, a document similarity index to suggest relevant documents, and a deep learning approach employing Bi-LSTM for entity extraction. For example, materials and processes for electrical charge storage under an electric double layer capacitor (EDLC) mechanism are demonstrated herewith. A knowledge graph approach finds and visualizes different latent knowledge sets from the processed information. The MatRec received an F1 score of 9̃6% for entity extraction, 8̃3% for material-value relationship extraction, and 8̃7% for process-value relationship extraction, respectively. The proposed MatRec could be extended to solve material selection issues for various applications and could be an excellent tool for academia and industry.
  6. Sarsam SM, Alzahrani AI, Al-Samarraie H
    Heliyon, 2023 Sep;9(9):e20132.
    PMID: 37809524 DOI: 10.1016/j.heliyon.2023.e20132
    Pregnancy carries high medical and psychosocial risks that could lead pregnant women to experience serious health consequences. Providing protective measures for pregnant women is one of the critical tasks during the pregnancy period. This study proposes an emotion-based mechanism to detect the early stage of pregnancy using real-time data from Twitter. Pregnancy-related emotions (e.g., anger, fear, sadness, joy, and surprise) and polarity (positive and negative) were extracted from users' tweets using NRC Affect Intensity Lexicon and SentiStrength techniques. Then, pregnancy-related terms were extracted and mapped with pregnancy-related sentiments using part-of-speech tagging and association rules mining techniques. The results showed that pregnancy tweets contained high positivity, as well as significant amounts of joy, sadness, and fear. The classification results demonstrated the possibility of using users' sentiments for early-stage pregnancy recognition on microblogs. The proposed mechanism offers valuable insights to healthcare decision-makers, allowing them to develop a comprehensive understanding of users' health status based on social media posts.
  7. Aman A, Rafiq M, Dastane O
    Heliyon, 2023 Sep;9(9):e19534.
    PMID: 37809562 DOI: 10.1016/j.heliyon.2023.e19534
    While the significance of cross-cultural research has been acknowledged over time, there remains a gap in understanding its relationship with employee outcomes. This study delves into the associations between organizational trust climate (TC) and job performance (JP), as well as turnover intention (TI), seeking to ascertain if work engagement (WE) plays a mediating role. Additionally, the research investigates potential differences in the mediating effect between China and Pakistan. Data gathered from 270 participants in China and 242 in Pakistan were subjected to structural equation modeling (SEM) for analysis. Findings indicated that perceptions of individual WE serve as a bridge between organizational TC and JP, with the effect on JP being notably stronger among the Chinese participants. Moreover, the mediating role of WE in the link between organizational TC and TI was more pronounced for the Pakistani participants. On a practical front, such insights can equip managers with a nuanced understanding of the ripple effect that a trust-infused environment can have on employee engagement, subsequently influencing performance and retention rates.
  8. Chan DYL, Lee SWH, Teh PL
    Heliyon, 2023 Sep;9(9):e20111.
    PMID: 37809586 DOI: 10.1016/j.heliyon.2023.e20111
    As the world's aging population increases, leveraging technology to support aging is proving advantageous. Notably, technology adoption studies among older adults have received increasing scholarly attention, but findings from these studies do not reflect the context of low-income older adults. Studies focusing on low-income older adults were relatively few and it remains unclear which factors influence this group's technology use. This systematic review aims to synthesize findings on factors influencing technology use among low-income older adults to provide directions and opportunities for future research in information systems. Observing the literature through the lens of Social Cognitive Theory, we identified avenues for future research and further integrated the framework with Maslow's hierarchy of needs to elucidate the phenomenon. Findings from this systematic review suggest that both personal and environmental factors, such as cognitions, affects, sociodemographic characteristics, technological and social environment are significant predictors of technology use among low-income older adults. Specifically, factors related to accessibility and affordability, such as income, perceived cost, and accessibility to technology are salient in a resource-limited setting. More importantly, the technology usage behavior elucidate the embeddedness of fundamental human needs which plays a central role underlying technology use among this segment. However, more research is needed to understand the interaction between person, environment and behavior determinant shaping technology use among low-income older adults from diverse economic and cultural setting. This study also sheds light on disciplinary gaps and the lack of investigations anchored on theoretical foundations, and suggests avenues for future research and implications for practice.
  9. Tedjakusuma AP, Au Yong HN, Andajani E, Mohamad ZZ
    Heliyon, 2023 Sep;9(9):e19840.
    PMID: 37809609 DOI: 10.1016/j.heliyon.2023.e19840
    Consuming health supplements is essential to strengthen the immune systems and protect against illness, especially during health crises such as the COVID-19 pandemic. Considering the increasing number of Muslim populations worldwide and the necessity of online applications during health crises, this research aims to study the consumer's purchase intention of halal health supplement products online by examining variables influencing consumer's purchase intention. The Theory of Planned Behaviour has been applied as an underlying theory for this study, including religiosity and COVID-19 as an extension to the theory. 214 respondents participated in this study by completing the survey questionnaire via an online platform. Analysis was performed using SmartPLS4. The findings illustrate that perceived benefit is the most important indicator for Indonesian respondents, while attitude, subjective norms, and the COVID-19 pandemic are the factors that contribute to purchase intention among Malaysian respondents. The study enhances current literature, specifically in the context of halal health supplement products. Additionally, investigating the COVID-19 pandemic in the context of halal health supplements with a unique set of variables leads to a new path of study. Examining consumer behavior such as perceived benefit, attitude, subjective norms, and the COVID-19 pandemic that influence online purchase intention will provide consumer insights to marketers involved in halal health supplement products. The perspective on consumer beliefs gives directions for strategy development to businesses.
  10. Meng CK, Piaralal SK, Islam MA, Yusof MFB, Chowdhury RS
    Heliyon, 2023 Sep;9(9):e19721.
    PMID: 37809654 DOI: 10.1016/j.heliyon.2023.e19721
    Medical tourism, a thriving industry encompassing both healthcare and tourism sectors, has experienced exponential growth over the past decades. The intensifying competition within the global market necessitates a closer examination of the pivotal role played by the perceptions of medical tourists in their decision-making process regarding health destination visits. Thus, this study aims to explore the interplay between international medical tourists' perceptions of health resort attractions and their expectations, while also investigating the mediating effect (expectations) of these perceptions on their behavioral intentions to seek medical and healthcare treatments in a Malaysian health resort. Drawing on the Expectation Confirmation Theory (ECT) and the Theory of Planned Behavior (TPB), this research employed a quantitative research method, surveying 386 international medical tourists. The distribution of the survey questionnaire utilized the online internet email method. The study employed the partial least square structural equation modeling (PLS-SEM) method to examine the hypothesized relationships. The results conclusively support the positive influence of health resort attractions on international medical tourists' expectations and behavioral intentions. Consequently, this study provides valuable implications for the future growth and development of the health resort and medical tourism industry in Malaysia.
  11. You F, Shaik S, Rokonuzzaman M, Rahman KS, Tan WS
    Heliyon, 2023 Sep;9(9):e19664.
    PMID: 37809655 DOI: 10.1016/j.heliyon.2023.e19664
    Wind turbine fires pose a significant global problem, leading to substantial financial losses. However, due to limited open discussions and lax regulations in the wind power industry, progress in addressing this issue has been hindered. This study aims to shed light on the fire risks associated with wind turbine nacelles and blades, while also exploring preventive measures and the latest fire detection and extinguishing technologies. The research conducted in this study involves a comprehensive investigation of various case studies, utilizing causal examination to identify common failure forms and their roles in fire incidents. Additionally, typical hazards, with a focus on fire incidents, in wind turbines are diagnosed. The primary causes of these fires were determined to be lightning strikes and hydraulic faults, often exacerbated by the presence of combustible materials. To conclude, the study includes a survey that encompasses education, knowledge analysis, and real-life accident experiences to assess fire risks and prevention measures in wind turbines. The participation of experts from wind farms, including those from the People's Republic of Bangladesh and other countries, adds valuable insights. The findings from this study serve as a crucial resource for enhancing safety standards and mitigating fire incidents within the wind power industry.
  12. Al-Mijalli SH, Jeddi M, El Hachlafi N, M Abdallah E, Assaggaf H, Qasem A, et al.
    Heliyon, 2023 Sep;9(9):e19814.
    PMID: 37809691 DOI: 10.1016/j.heliyon.2023.e19814
    Sweet orange (Citrus × sinensis (L.) Osbeck), lentisk (Pistacia lentiscus L.) and lemon eucalyptus (Eucalyptus citriodora Hook) are medicinal plants known by its culinary virtues. Their volatile oils have demonstrated promising antimicrobial activity against a panel of microbial strains, including those implicated in food deterioration. In this exploratory investigation, we aimed to determine the antimicrobial formulation of sweet orange, lentisk and lemon eucalyptus essential oils (EOs) using the simplex-centroid mixture design approach coupled with a broth microdilution method. EOs were first extracted by hydrodistillation, and then their phytochemical profile was characterized using Gas chromatography-mass spectrometry (GC-MS). GC-MS analysis identified d-limonene (14.27%), careen-3 (14.11%), β-myrcene (12.53%) as main components of lentisk EOs, while lemon eucalyptus was dominated by citronellal (39.40%), β-citronellol (16.39%) and 1,8-cineole (9.22%). For sweet orange EOs, d-limonene (87.22%) was the principal compound. The three EOs exhibited promising antimicrobial potential against various microorganisms. Lemon eucalyptus and sweet orange EO showed high activity against most tested microorganisms, while lentisk EO exerted important effect against some microbes but only moderate activity against others. The optimization formulations of antimicrobial potential showed interesting synergistic effects between three EOs. The best combinations predicted on C. albicans, S. aureus, E. coli, S. enterica and B. cereus correspond to 44%/55%/0%, 54%/16%/28%, 43%/22%/33%, 45%/17%/36% and 36%/30%/32% of Citrus sinensis, Pistacia lentiscus and Eucalyptus citriodora EOs, respectively. These findings suggest that the combination of EOs could be used as natural food preservatives and antimicrobial agents. However, further studies are needed to determine the mechanisms of action and efficacy of these EOs against different microorganisms.
  13. Chao K, Sarker MNI, Ali I, Firdaus RBR, Azman A, Shaed MM
    Heliyon, 2023 Sep;9(9):e19681.
    PMID: 37809720 DOI: 10.1016/j.heliyon.2023.e19681
    The use of healthcare data analytics is anticipated to play a significant role in future public health policy formulation. Therefore, this study examines how big data analytics (BDA) may be methodically incorporated into various phases of the health policy cycle for fact-based and precise health policy decision-making. So, this study explores the potential of BDA for accurate and rapid policy-making processes in the healthcare industry. A systematic review of literature spanning 22 years (from January 2001 to January 2023) has been conducted using the PRISMA approach to develop a conceptual framework. The study introduces the emerging topic of BDA in healthcare policy, goes over the advantages, presents a framework, advances instances from the literature, reveals difficulties and provides recommendations. This study argues that BDA has the ability to transform the conventional policy-making process into data-driven process, which helps to make accurate health policy decision. In addition, this study contends that BDA is applicable to the different stages of health policy cycle, namely policy identification, agenda setting as well as policy formulation, implementation and evaluation. Currently, descriptive, predictive and prescriptive analytics are used for public health policy decisions on data obtained from several common health-related big data sources like electronic health reports, public health records, patient and clinical data, and government and social networking sites. To effectively utilize all of the data, it is necessary to overcome the computational, algorithmic and technological obstacles that define today's extremely heterogeneous data landscape, as well as a variety of legal, normative, governance and policy limitations. Big data can only fulfill its full potential if data are made available and shared. This enables public health institutions and policymakers to evaluate the impact and risk of policy changes at the population level.
  14. Mohammed M, Oleiwi JK, Jawad AJM, Mohammed AM, Osman AF, Rahman R, et al.
    Heliyon, 2023 Sep;9(9):e20051.
    PMID: 37809763 DOI: 10.1016/j.heliyon.2023.e20051
    Due to environmental concerns and budgetary constraints associated with synthetic fibers, natural fibers (NFr) are becoming increasingly popular as reinforcement in polymer composites (PCs) for structural components and construction materials. The surface treatment (ST) method is a well-established technique for enhancing the strength of interfacial bonding between NFr and the polymer matrix (PM). As a result, this research aims to determine the effect of ST with zinc oxide nanoparticles (ZnONPs) on the flexural properties of unsaturated polyester (UPE)/kenaf fiber (KF) nanocomposites. The hand lay-up technique was employed to produce KF-reinforced unsaturated polyester composites (KF/UPE) for this investigation. UPE/KF-ZnONPs composites were made with varying NFr loadings (weight percent), ranging from 10 to 40%. KF was treated with five distinct amounts of ZnONPs (from 1 to 5% weight percent). According to the findings of the investigation, the composite samples incorporating ZnONPs displayed superior optimum flexural properties compared to the untreated KF composite. It was found that 2% ZnONPs was optimal, and ST with ZnONPs could produce robust KF with improved flexural properties.
  15. Haque MA, Saha D, Al-Bawri SS, Paul LC, Rahman MA, Alshanketi F, et al.
    Heliyon, 2023 Sep;9(9):e19548.
    PMID: 37809766 DOI: 10.1016/j.heliyon.2023.e19548
    In this study, we have presented our findings on the deployment of a machine learning (ML) technique to enhance the performance of LTE applications employing quasi-Yagi-Uda antennas at 2100 MHz UMTS band. A number of techniques, including simulation, measurement, and a model of an RLC-equivalent circuit, are discussed in this article as ways to assess an antenna's suitability for the intended applications. The CST simulation gives the suggested antenna a reflection coefficient of -38.40 dB at 2.1 GHz and a bandwidth of 357 MHz (1.95 GHz-2.31 GHz) at a -10 dB level. With a dimension of 0.535λ0×0.714λ0, it is not only compact but also features a maximum gain of 6.9 dB, a maximum directivity of 7.67, VSWR of 1.001 at center frequency and a maximum efficiency of 89.9%. The antenna is made of a low-cost substrate, FR4. The RLC circuit, sometimes referred to as the lumped element model, exhibits characteristics that are sufficiently similar to those of the proposed Yagi antenna. We use yet another supervised regression machine learning (ML) technique to create an exact forecast of the antenna's frequency and directivity. The performance of machine learning (ML) models can be evaluated using a variety of metrics, including the variance score, R square, mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), and mean squared logarithmic error (MSLE). Out of the seven ML models, the linear regression (LR) model has the lowest error and maximum accuracy when predicting directivity, whereas the ridge regression (RR) model performs the best when predicting frequency. The proposed antenna is a strong candidate for the intended UMTS LTE applications, as shown by the modeling results from CST and ADS, as well as the measured and forecasted outcomes from machine learning techniques.
  16. Wang X, Xia L, Pei F, Wang Z, Liu Y, Chang L, et al.
    Heliyon, 2023 Sep;9(9):e20116.
    PMID: 37809848 DOI: 10.1016/j.heliyon.2023.e20116
    Particulate matter (PM2.5, PM10) in urban subway stations can significantly impact passengers' health. The particle concentration in subway stations is influenced by many factors. However, few existing studies have explored the impact of environmental control systems in-depth, especially under different outdoor pollution conditions. To address this research gap, this study focused on measuring and comparing the characteristics of PM2.5 and PM10 at subway stations with three control systems (open, closed, and screen door) under varying pollution conditions in Beijing. Particle concentrations from platforms, carriages, and outdoors were monitored and analyzed using statistical methods. The results showed that the particle concentration in the closed system was generally 20-40 μg/m3 higher than that in the screen system at the platform, which might be attributed to the piston wind, as the air from the tunnel with a lot of dirt. The pollution in the carriage was more severe for the open system than that of the screen system. The PM2.5/PM10 ratio in the carriage was 91%, 90%, and 83.84% for the closed, open, and screen systems, respectively. This indicates that the screen door could reduce the particle concentration in the platform to 10%-50%. The particle concentration varied among subway stations with different environmental control systems, suggesting that the prevention and control strategies for particulate matter pollution should be different for stations with different systems.
  17. Nabayi A, Teh CBS, Tan AKZ, Tan NP, Beke D
    Heliyon, 2023 Sep;9(9):e20213.
    PMID: 37809856 DOI: 10.1016/j.heliyon.2023.e20213
    Washed rice water (WRW) is the leftover water after washing rice grains and is usually discarded. However, WRW contains nutrients leached from rice, making it a potential plant fertilizer. Reusing WRW promotes better water governance, particularly in the face of increased freshwater needs due to population expansion and climate change. Recent experiments in rain shelters have demonstrated the advantages of using WRW as fertilizer. Building on this, our study assessed WRW's efficacy in an open field against NPK fertilizer, both individually and in combination. The treatments were: R3 (3-day fermented WRW), N1 (full recommended NPK rate), N0.5R3 (half NPK rate and R3), and CON (tap water only). These treatments were tested over three consecutive planting cycles of choy sum (Brassica chinensis var. parachinensis) vegetable. At the end of each planting cycle, measurements were taken for the plant's growth, nutrient content and uptake, as well as various soil chemical properties and bacterial population. Plants were watered daily with 5 mm WRW (R3 and N0.5R3) or tap water (N1 and CON). N0.5R3 showed the best results in terms of plant growth, nutrient content, uptake, and soil nutrient levels. N0.5R3 supplied the most nutrients, especially N, P, and K. Increased plant growth also led to increased plant uptake of nutrients, including micronutrients. Macronutrients had a greater impact on plant biomass than micronutrients, as R3 and N1 had similar results. R3 soils had higher bacterial populations but were more acidic than N1 soils. The negative effect of NPK on bacteria was partially offset by combining NPK with WRW as N0.5R3. No carryover effects were observed, likely because of the high nutrient leaching from heavy rains. These findings confirm WRW's is an effective fertilizer in open fields, but measures like surface mulching are crucial to minimize nutrient leaching prior to its use.
  18. Yubo S, Ramayah T, Hongmei L, Yifan Z, Wenhui W
    Heliyon, 2023 Sep;9(9):e19922.
    PMID: 37809860 DOI: 10.1016/j.heliyon.2023.e19922
    This study presents a comprehensive overview of the development process and the latest trends in technology management (TM), laying a robust foundation for further advancements in this domain. To achieve this, we analysed 1944 TM articles from the Web of Science database and 2642 articles from Scopus, spanning the last 20 years. Employing methodologies that involve scientific knowledge graphs and bibliometrics, we analysed diverse aspects such as changes in the annual publication of articles; geographical distribution among countries, institutions, disciplines, and authors; keyword co-occurrence and clusters; and timezone view. Our findings reveal a significant surge in TM's growth in recent years, showcasing its highly promising potential. The USA is the frontrunner in contributing to TM research, followed by China and the UK. TM research is relatively concentrated in the UK, while it appears more dispersed in China. The University of Cambridge had the highest volume of research, and the disciplines of Business, Management, Engineering, and Computer Science occupied the top spots. As TM evolves, a possible challenge could be the emergence of new authoritative authors. Second, TM's vibrant landscape is characterised by hotspots such as innovation, technology strategy, technology acquisition, technology application, technology standards, and sustainable development. Among these, information and medical technologies stand out as the most frequently referenced technologies. Third, the trends in TM are as follows: innovation is subdivided into technological innovation and open innovation, bibliometric analysis and patent analysis have become pivotal methods for knowledge management, the scope of TM has expanded from internal organisational processes to encompass external aspects, and TM is gradually evolving into a mature science, with its focus transitioning from macro to micro and becoming more profound and detailed. Last, Industry 4.0, artificial intelligence, big data, and the IoT represent the latest frontier technologies in the realm of TM.
  19. Mhana KH, Norhisham SB, Katman HYB, Yaseen ZM
    Heliyon, 2023 Sep;9(9):e19413.
    PMID: 37809986 DOI: 10.1016/j.heliyon.2023.e19413
    Developments in the transportation field are emerging because of the growing worldwide demand and upgrading requirements. This study measured the transportation development, shortage distance, and decadal land transformation of Kuala Lumpur and Madrid using various remote sensing and GIS approaches. The kernel density estimation (KDE) tool was applied for road and railway density analysis, and hotspot information increased the knowledge about assessable areas. Landsat datasets were used (1991-2021) for land transformation and related analyses. The built-up land increased by 1327.27 and 404.09 km2 in Kuala Lumpur and Madrid, respectively. In the last thirty years, the temperature increased 6.45 °C in Kuala Lumpur and 4.15 °C in Madrid owing to urban expansion and road construction. Chamberi, Retiro, Moratalaz, Salama, Wangsa Maju, Titiwangsa, Bukit Bintang, and Seputeh have very high road densities. KDE measurements showed that the road densities in Kuala Lumpur (4498.34) and Madrid (9099.15) were high in the central parts of the city, and the railway densities were 348.872 and 2197.87, respectively. The observed P values were 0.99 and 0.96 for traffic signals and 0.98 and 0.99 for bus stops, respectively. The information provided by this study can support local planners, administrators, scientists, and researchers in understanding the global transportation issues that require implementation strategies for ensuring sustainable livelihoods.
  20. Ismail H, Phan YH, Chandriah K, Arman MR, Mokhtar NN, Hamdan SA, et al.
    Heliyon, 2023 Sep;9(9):e20258.
    PMID: 37809997 DOI: 10.1016/j.heliyon.2023.e20258
    INTRODUCTION: This study was aimed to measure the prevalence of depression, anxiety, and stress as well as to evaluate the associations of these mental disorders with sociodemographic factors, workplace worries, and coping strategies among frontline HCWs in Kuala Lumpur, Malaysia during the COVID-19 pandemic.

    METHODS: A cross-sectional study was conducted in a tertiary teaching hospital in Kuala Lumpur, Malaysia. Sociodemographic data questionnaire, Depression, Anxiety, and Stress Scale 21, sources of workplace worries questionnaire, and Brief-COPE inventory were randomly distributed to frontline HCWs who worked at the medical, emergency, and anaesthesiology departments. Data were analyzed using Chi-square tests and multivariable linear regression analysis.

    RESULTS: A total of 137 frontline HCWs responded to the questionnaires. The prevalence of depression, anxiety, and stress was 69.3%, 77.4%, and 57.7%, respectively. None of the sociodemographic characteristics was associated with depression, anxiety, and stress. Depression was associated to all sources of workplace worries, except "fear of getting infected" (p = 0.089), while anxiety and stress were associated with all sources of workplace worries. Humour (β = 0.821), self-blame (β = 0.686), denial (β = 0.676), substance use (β = 0.835), and behavioural disengagement (β = 0.583) were positively correlated to depression. However, active coping (β = -0.648) and acceptance (β = -0.602) were negatively correlated to depression. On the other hand, active coping (β = 0.913), planning (β = 0.879), acceptance (β = 0.831), religion (β = 0.704), and self-distraction (β = 0.929) were positively correlated to stress. Only substance use (β = -0.417) was negatively correlated to stress. All coping strategies did not correlate to anxiety.

    CONCLUSION: The high prevalence of depression, anxiety and stress is attributed by the various sources of workplace worries and the inappropriate coping strategies among the frontline HCWs. Measures that minimise workplace worries and inappropriate coping strategies must be implemented promptly.

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